CEP-IP is a new explainable framework that combines dual statistical filtering, generalized additive modeling, and inflection point analysis to identify four biologically distinct cell subpopulations per patient across prostate cancer, brain, and glioblastoma scRNA-seq datasets.
Small molecular inhibitors block TRPM4 currents in prostate cancer cells, with limited impact on cancer hallmark functions
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CEP-IP: An Explainable Framework for Cell Subpopulation Identification in Single-cell Transcriptomics
CEP-IP is a new explainable framework that combines dual statistical filtering, generalized additive modeling, and inflection point analysis to identify four biologically distinct cell subpopulations per patient across prostate cancer, brain, and glioblastoma scRNA-seq datasets.